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https://files.pythonhosted.org/packages/d4/e2/df3543e8ffdab68f5acc73f613de9c2b155ac47f162e725dcac87c521c11/tokenizers-0.10.3-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl (3.3MB)\n","\u001b[K     |████████████████████████████████| 3.3MB 47.7MB/s \n","\u001b[?25hRequirement already satisfied: filelock in /usr/local/lib/python3.7/dist-packages (from transformers<5.0.0,>=4.6.0->sentence-transformers) (3.0.12)\n","Requirement already satisfied: importlib-metadata; python_version < \"3.8\" in /usr/local/lib/python3.7/dist-packages (from transformers<5.0.0,>=4.6.0->sentence-transformers) (4.5.0)\n","Requirement already satisfied: typing-extensions in /usr/local/lib/python3.7/dist-packages (from torch>=1.6.0->sentence-transformers) (3.7.4.3)\n","Requirement already satisfied: pillow>=5.3.0 in /usr/local/lib/python3.7/dist-packages (from torchvision->sentence-transformers) (7.1.2)\n","Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.7/dist-packages (from scikit-learn->sentence-transformers) (1.0.1)\n","Requirement already satisfied: six in /usr/local/lib/python3.7/dist-packages (from nltk->sentence-transformers) (1.15.0)\n","Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->transformers<5.0.0,>=4.6.0->sentence-transformers) (2.10)\n","Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->transformers<5.0.0,>=4.6.0->sentence-transformers) (2021.5.30)\n","Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->transformers<5.0.0,>=4.6.0->sentence-transformers) (3.0.4)\n","Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->transformers<5.0.0,>=4.6.0->sentence-transformers) (1.24.3)\n","Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.7/dist-packages (from packaging->transformers<5.0.0,>=4.6.0->sentence-transformers) (2.4.7)\n","Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from sacremoses->transformers<5.0.0,>=4.6.0->sentence-transformers) (7.1.2)\n","Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata; python_version < \"3.8\"->transformers<5.0.0,>=4.6.0->sentence-transformers) (3.4.1)\n","Building wheels for collected packages: sentence-transformers\n","  Building wheel for sentence-transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n","  Created wheel for sentence-transformers: filename=sentence_transformers-2.0.0-cp37-none-any.whl size=126711 sha256=b4517e4cd364adb9fd9927fcf0b884a384974f3ea9c2b3b250f4d93d9fed0fa8\n","  Stored in directory: /root/.cache/pip/wheels/38/d2/98/d191289a877a34c68aa67e05179521e060f96394a3e9336be6\n","Successfully built sentence-transformers\n","\u001b[31mERROR: transformers 4.8.2 has requirement huggingface-hub==0.0.12, but you'll have huggingface-hub 0.0.13 which is incompatible.\u001b[0m\n","Installing collected packages: sacremoses, tokenizers, transformers, sentencepiece, sentence-transformers\n","Successfully installed sacremoses-0.0.45 sentence-transformers-2.0.0 sentencepiece-0.1.96 tokenizers-0.10.3 transformers-4.8.2\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":365,"referenced_widgets":["c11191e8180e4f8bb55fd6fe08ec8dcb","78e53681684b4b559e0cc96794d5429b","8efd9f381ab445ecbb7eaa0d32d22441","e24419b42ed44bedb61ba48f05f64b36","eb48c680cafb482086f90c8aa45ba490","ff2c5599f3524574ba55c3bac87c9f97","784e6d76726749e7a8f14c5a5d2b9fb1","d9081af8fa0e4d058298bb7d8d9fbc92","7efd82fd003e48c9b4bfbb8b7ad5b404","ce6b8f3c9cc049828ebe1ef90c8ce20b","d4857ab383134ae39d49545ab2948604","8dab515f16f74d7aa5d2aadeb9811a81","d00b8c790c2b4b41837964134ddfeccd","f628438aca0d4002960397f48f21a6f9","f9a7d4bc62d94f24a664b4d679ad4481","b86c2317db37469fa4bd8733724436bb","f6f8bcab677640ca9a9ee91d40757ed9","7b7af09b23b84ef28a5c30e70c1702cc","8569b0fdbb024b4b8e8f5f4153921291","e4d5e85bb69447c0b0059453abfdf35e","5e5662c53c8745de8a5b1a0a63e4e75d","ff0b3cb8879d4bfdae14e16c2552d498","d9b6ee54d763479c8e7d9873e8714b4e","33858558f4254068b74f26cb23e56550","984544c1f3d646ee90514650f675dc51","0ac85c29b63245659548f11af910eea1","10908ed73fc04aa0afe2cf87fc25c02f","15af123172ae4e2aa3031f41fa067250","e957237c71854a67bcedffcd5598cbdf","a64817a311734ec0abe88b10e255f0cc","2b60aca203f4449c98afde3e444c7216","4dd0d2d2cffe4e9bb468e9c3d56175cc","8b762f0c3fb24279bbf597466a618715","930f874bb9e24f45a40e604f947ca1cd","64bd270a2baa4e6c81687c1369b84771","e36a472c833b4109ae362c6e95c4a2e4","839926ff3a9c47b388ee920fd8fcc0ee","19d6079df78d4ae79c6bc477cbb942f1","d3160d8ec2e74fb78ce63cee174cddda","4cbfa5dc01814979b3382aa3d291523c","a7dfd85a7f1e422786314ccd1d314de6","538c2cd9248d4571b397d486dc44deea","7a1144dd118348919b24537232960c75","6aa38a1a1c014c2e89f3dee5a1c8058e","cac1d5a0453a4e32aa15d18a5ad825e7","587892468f714cd29d39002fd5f2adf0","5a3535534d3144908b439e953743dc74","1adc87f067c44e52bc799e3fe7b8ac56","ce481558ffff4545b262f884ceea6004","7dab19f618a04db4a2b838184db9e945","be04eded3b09432b8f22ce997fba5a92","0e67ec010fe3489389f0b6b4846653cc","1944d192b6434303b4a991f8f1c57221","2a34d5376e254953883b7116d0fbbb6c","e254ebc8507a402fbf7d59fe54980353","e72976a794b94e66975e7981fde42f08","c3faa9bd3dc4472fa0b9337992aee8bc","bc7063bc33c4494e9e40c3ed1bc7731f","172cbea4481a4de4a42f1903f29b55d5","3f5431823aec492d879eb9737087d105","1ee302fe635b45259a91bd25789da197","a61394df29bd4ab9ba9d4dec0adf91c7","e4e9b2fd95d544d992c830a8696cfbc0","524594d1d7284fef8246aa4b7d3e80fd","a4f9afbfd80e42e189ac9095f6b27dea","3977c2b4f21d4c61ba202d7914dd069b","f3a997b0c29241dcbc1b61a10c366161","c063f2a0b02a47d8835433101b44297d","9266ef48fd36468d87743a60fd49939b","c9981e3097d14ca79d11e001d7c17498","c9cbd9401e5f4e4bbd79dfb5b6c9b596","c3290f5d4c1d4f2587f056075a21430d"]},"id":"ilAe4ORtmOn8","executionInfo":{"status":"ok","timestamp":1625402055035,"user_tz":-180,"elapsed":15315,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}},"outputId":"9ca438bd-a57e-4871-f561-b18df7425bb9"},"source":["from datasets import load_metric, load_dataset \n","metric = load_metric('glue', 'mrpc') \n","mrpc = load_dataset('glue', 'mrpc') "],"execution_count":3,"outputs":[{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"c11191e8180e4f8bb55fd6fe08ec8dcb","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1848.0, style=ProgressStyle(description…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"7efd82fd003e48c9b4bfbb8b7ad5b404","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=7777.0, style=ProgressStyle(description…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"f6f8bcab677640ca9a9ee91d40757ed9","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=4473.0, style=ProgressStyle(description…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n","Downloading and preparing dataset glue/mrpc (download: 1.43 MiB, generated: 1.43 MiB, post-processed: Unknown size, total: 2.85 MiB) to /root/.cache/huggingface/datasets/glue/mrpc/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad...\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"984544c1f3d646ee90514650f675dc51","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Downloading', max=1.0, style=ProgressSt…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"8b762f0c3fb24279bbf597466a618715","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Downloading', max=1.0, style=ProgressSt…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"a7dfd85a7f1e422786314ccd1d314de6","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', description='Downloading', max=1.0, style=ProgressSt…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"ce481558ffff4545b262f884ceea6004","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\r"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"c3faa9bd3dc4472fa0b9337992aee8bc","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\r"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"a4f9afbfd80e42e189ac9095f6b27dea","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\rDataset glue downloaded and prepared to /root/.cache/huggingface/datasets/glue/mrpc/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad. Subsequent calls will reuse this data.\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"DH_3OfTSmUgJ","executionInfo":{"status":"ok","timestamp":1625402056049,"user_tz":-180,"elapsed":1019,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}},"outputId":"b0fc113f-ff0e-4df7-ed74-43332b276962"},"source":["metric = load_metric('glue', 'stsb') \n","metric.compute(predictions=[1,2,3],references=[5,2,2]) "],"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["{'pearson': -0.8660254037844387, 'spearmanr': -0.8660254037844387}"]},"metadata":{"tags":[]},"execution_count":4}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":120,"referenced_widgets":["4367a7a0c35b4b8aacec8b1919b0f9e5","2c07e1a461544f908531fc9d4b5114f4","ace13fb4e93c486795bdf7f48861ae9d","f9514ce4ec0546c3b6501f47812a4abf","1d13b8c63eee44f88b894c179d98a49b","f27f007f5b45431d8a7d100943fb551b","eb3e86664d0b4cefa041fd675231b446","161fee7b8dba498da868a2f89ca161fd","83c3f161131944acad1bcfa3919b2265","39c73d62b9f240bdb6d062ffe77d5b3a","85324fcbaf054f939811a0399ab54449","eeeabb8110ea42049a9930eaa985c71b","87cf427f83c343b09d7dce3a9f0ff8e0","bee7757578254a50a19ecd8938f6b096","9b03b7532a354811bb28a516623f0193","77e9482a12f84ae2b6078bb73b69e60a","abe44c1b41de49d3b83544db800fdeee","04a06601a8fc415489af152495b386c8","d50b544273694d4098559ea3e76b9f69","35abd54c66dd4532a5aa8bed8f8c1fcd","118dea8c55264919a2ec13ded9c90c22","bd46c74a5ce247dcb48530a5cc497c07","f80437fd499743e8acb0f1e8fe031eef","d668da63549844c18ef042d0d2d27ea5","e0f5b1fd98574d01bc39d960d38b712d","7b9a656ac7994ba48e50644ca64f4b85","b38ebf7683d74493a33a17197e359866","3a0691b78d2b46ab8ea62533cb91056c","47b02b9b01ad450bb1550842fe8211ce","bce1bf4ae5574096a07e5d7c31735b69","518c4619663e4533a1e9aefbc9917807","e92e808efcce4f8f853c3ed524f58618"]},"id":"-3RyZ3E8mcl0","executionInfo":{"status":"ok","timestamp":1625402062971,"user_tz":-180,"elapsed":5418,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}},"outputId":"a4683ad6-f8e4-4b9c-d989-c5136b245914"},"source":["from datasets import load_metric, load_dataset \n","stsb_metric = load_metric('glue', 'stsb') \n","stsb = load_dataset('glue', 'stsb') "],"execution_count":5,"outputs":[{"output_type":"stream","text":["Downloading and preparing dataset glue/stsb (download: 784.05 KiB, generated: 1.09 MiB, post-processed: Unknown size, total: 1.86 MiB) to /root/.cache/huggingface/datasets/glue/stsb/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad...\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"4367a7a0c35b4b8aacec8b1919b0f9e5","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=802872.0, style=ProgressStyle(descripti…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"83c3f161131944acad1bcfa3919b2265","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\r"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"abe44c1b41de49d3b83544db800fdeee","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\r"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"e0f5b1fd98574d01bc39d960d38b712d","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=1.0, bar_style='info', max=1.0), HTML(value='')))"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\rDataset glue downloaded and prepared to /root/.cache/huggingface/datasets/glue/stsb/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96da6053ad. Subsequent calls will reuse this data.\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":722,"referenced_widgets":["0f8f4498f4634c9a8b9e9704de7c79ac","1164ffbbe44049f3b9fdba44a670214f","cf42b14bd5f340ec9defdc2651dc870b","42f8255f5a80478eb956e50e4b775e6a","8ed860732f3d488cafb9918820124934","a9ddcf81a9e74e0c8c40a95da2af3d20","995ed76171894c5cb4707a71e271421e","a699ab52ebe9407cb0841ca76ff33410","f8f879976be74cd3bcacbde604b0b6fb","0b9a8de55ab0446e9b16ba110da8ab6f","033a5ae221bf4280b21b5f3a64b41e06","8c96f2fc1f5e4041b90e1eaaf1f8a82e","54afe6261ab743358ccceaa22f02f72a","3ff7e28297be4ea5bb930abe8a8c4c7d","6dc0d7996cef4347845b5bfc1bee5127","d0f582aa1b5041d88f9e7a6dd8cb9600","a005459c6a104a5f908ac2ce29246328","d6fcd24d46604081a926c502b22540ea","356b23cce6c74ca19fd292b866ad8650","2402b36127f74d698a75bcc9ee2ae56c","16f30c94bbf44e8c92f507f616745d78","59f472b4cd58491dba0bb84fd5835e9e","013592e60a2b49d9ba1ab8a6245c4486","54451fba9a754374adbf547fca11e2f1","c5cd911f7ccd4863adfe33ba88eabfed","88b3f59b1d8d4cd89ee5e0d7d9b2a16b","8797e375f48e433c84a449811aeb0872","1185adcabaa24296a7cc0dda90fdf9dc","136e3720ce2244b2b856abfa17b9036e","aaa80c0bbefc4157b2c2f80328325647","fe0eaba601de40ecb2caebf365c9085c","e1947e1457394b9a965914c4f60bf894","44049c5d2215427d863d693903243748","76c013646c164ab58903b24f008735e4","0c24b2a4a11043fa979a198fbb388237","a43e8d36fcae4ed694d5d032fb49db93","a098cd6154444a9a8d0c26c2025b210f","f860419c0120457793d3fb0bc0d7f125","17d31c068f39479b890e9f76e86c4412","8f0c14b79adb4858878e506a2eacb5a3","42728f159d244b7a97a1a0c637df1a73","10af93f5126c4274bd59e1d863ca028c","00b76d95e1154963a0597aa2a95c8d90","ba4cf6521af44fd6b06ad38cd19fa32d","4ce6c3b9e5744d01a3d1eedc524a191d","eaae3c89082143dead0fdc8ede9cd247","85cb9ac41e3443faa7cf316da1fa47e9","2976a58efbff48fda863d0d46fb39227","b023f1cc805a4baf970fed4727c7041d","572b35cc77eb4b1bacb01d672fc52010","446ed9e871314d1eb5c9f76a944d4b2c","6eaf6ce679414ca1bb8084856fa1d126","699f281ed6394e8298c0a859beed9dab","dbe35bab00694b94a36dc223f2962e48","f5c38eedbd764af9977379a97fd190d6","a350bd4c656c453b8a31ec9aaf6ab7a7","8b7799bde0e8461d8373cb3bd26be30a","0345aa991e804fe7a6a0d57629813628","327a495e69d34c6d90d5fec9d9379f19","768c9023e0d84d448c8bba1d85f4a7a7","dd8fee6968344a57a81c69815ff4f895","b7bd25ec2eda4a8cafb3fdcdcf8d8c7f","055be164f8aa4d58bd3f119773610cc8","a51cacf68b6f4aab99358627d468b5e5","7d86e774ecd5402785b36f3df23fa021","93f2db3fd997478ea288936f7650fab9","e114ef3d9ee04e069dce2edc992ab427","bb74160afbfd431f94f19c037cf7b2fe","3ea4939957914a7185376122e9712d0c","48e1babbdebd439db80a2e4ab02aa94e","815c736fde1c4abcbd483f18c880195e","9450b2bae2ad44658259b4c70013bf75","e3daa75408bb420c80e23666723eb583","1776d4c2f2064ceb87804bbeced740d7","d02e89749728498a9b9378e7b0982bb4","48f5143f5a944443a908124030737d2b","37ca2b3a29b6436a8052047f74b4db9e","5e0885e627d942feb959db3119dd4c2c","9c5a72c2a6e34bfaaabf327cf8c1e097","7168e3cea988430a9952d83d30024368","a782a329e3d24ca98cb52db671ad22cd","11bfa399fb10473c8b651d5b1f4d463f","215b933c62424c72aaeb5a32131d22ff","b17ad659a16d43a4b3da23058ad643d3","45c6e664f95044d9ac054c58262d21ee","18d1d6b305f24d1bb20554f0c07c31e4","aa7747bb4d14451b9310b6fd6f0710fe","f420bbc41591406e8a7179454ad9c542","d14ef0b11e6d45f8b5dd55a17fee186e","95f564dd663d45a0aa39d0d8f653f49b","207571f60d85482b8a7584b231177ead","315bf4f6db924481a31d07c0ff7e5216","61c88bab803842db8daf646c854189cc","e043c5c888f146d590d4bf475f3dcc5f","9d0775edb24d45bb926347f7fba62819","d511fa5fe18b40aabe99e07b2712ed41","c84e29c5d24244bb9d330c52e7863ecb","8116dea6761f494ca2651771d0e2a5ec","2be25ff99cb9499fb9cf3cd784b4511a","98bc36ebc0474f3598cd2b70ca27ce28","66bfeba897a74f179a9df447e69bf8b0","c45ff8f133f64d6bade62648aba870d5","d74cd5d864c84fe6adf3de156169f78e","e58ddde1834b4e1c91d94a9cd821950f"]},"id":"8ydI1B-CmkyE","executionInfo":{"status":"ok","timestamp":1625402136464,"user_tz":-180,"elapsed":73498,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}},"outputId":"ca81bb2b-4f46-4d81-a618-58b9c7a9f146"},"source":["import tensorflow_hub as hub \n","use_model = hub.load(\"https://tfhub.dev/google/universal-sentence-encoder/4\") \n","from sentence_transformers import SentenceTransformer \n","distilroberta = SentenceTransformer('stsb-distilroberta-base-v2') "],"execution_count":6,"outputs":[{"output_type":"stream","text":["INFO:absl:Using /tmp/tfhub_modules to cache modules.\n","INFO:absl:Downloading TF-Hub Module 'https://tfhub.dev/google/universal-sentence-encoder/4'.\n","INFO:absl:Downloaded https://tfhub.dev/google/universal-sentence-encoder/4, Total size: 987.47MB\n","INFO:absl:Downloaded TF-Hub Module 'https://tfhub.dev/google/universal-sentence-encoder/4'.\n"],"name":"stderr"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"0f8f4498f4634c9a8b9e9704de7c79ac","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1093.0, style=ProgressStyle(description…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"f8f879976be74cd3bcacbde604b0b6fb","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=3690.0, style=ProgressStyle(description…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"a005459c6a104a5f908ac2ce29246328","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=680.0, style=ProgressStyle(description_…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"c5cd911f7ccd4863adfe33ba88eabfed","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=122.0, style=ProgressStyle(description_…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"44049c5d2215427d863d693903243748","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=456356.0, style=ProgressStyle(descripti…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"42728f159d244b7a97a1a0c637df1a73","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=229.0, style=ProgressStyle(description_…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"b023f1cc805a4baf970fed4727c7041d","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=328515953.0, style=ProgressStyle(descri…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"8b7799bde0e8461d8373cb3bd26be30a","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=52.0, style=ProgressStyle(description_w…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"7d86e774ecd5402785b36f3df23fa021","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=239.0, style=ProgressStyle(description_…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"e3daa75408bb420c80e23666723eb583","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1355881.0, style=ProgressStyle(descript…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"a782a329e3d24ca98cb52db671ad22cd","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=1117.0, style=ProgressStyle(description…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"d14ef0b11e6d45f8b5dd55a17fee186e","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=798293.0, style=ProgressStyle(descripti…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"},{"output_type":"display_data","data":{"application/vnd.jupyter.widget-view+json":{"model_id":"c84e29c5d24244bb9d330c52e7863ecb","version_minor":0,"version_major":2},"text/plain":["HBox(children=(FloatProgress(value=0.0, description='Downloading', max=190.0, style=ProgressStyle(description_…"]},"metadata":{"tags":[]}},{"output_type":"stream","text":["\n"],"name":"stdout"}]},{"cell_type":"code","metadata":{"id":"AlVOC2V6mo4K","executionInfo":{"status":"ok","timestamp":1625402139948,"user_tz":-180,"elapsed":403,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}}},"source":["import tensorflow as tf \n","import math \n","def use_sts_benchmark(batch): \n","  sts_encode1 = tf.nn.l2_normalize(use_model(tf.constant(batch['sentence1'])),axis=1) \n","  sts_encode2 = tf.nn.l2_normalize(use_model(tf.constant(batch['sentence2'])),axis=1) \n","  cosine_similarities = tf.reduce_sum(tf.multiply(sts_encode1,sts_encode2),axis=1) \n","  clip_cosine_similarities = tf.clip_by_value(cosine_similarities,-1.0,1.0)\n","  scores = 1.0 - tf.acos(clip_cosine_similarities) / math.pi \n","  return scores "],"execution_count":7,"outputs":[]},{"cell_type":"code","metadata":{"id":"pEAtoWYdnGKp","executionInfo":{"status":"ok","timestamp":1625402141696,"user_tz":-180,"elapsed":2,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}}},"source":["def roberta_sts_benchmark(batch): \n","  sts_encode1 = tf.nn.l2_normalize(distilroberta.encode(batch['sentence1']),axis=1) \n","  sts_encode2 = tf.nn.l2_normalize(distilroberta.encode(batch['sentence2']),axis=1) \n","  cosine_similarities = tf.reduce_sum(tf.multiply(sts_encode1,sts_encode2),axis=1) \n","  clip_cosine_similarities = tf.clip_by_value(cosine_similarities,-1.0,1.0) \n","  scores = 1.0 - tf.acos(clip_cosine_similarities) / math.pi \n","  return scores "],"execution_count":8,"outputs":[]},{"cell_type":"code","metadata":{"id":"I35jnu9-nLie","executionInfo":{"status":"ok","timestamp":1625402153435,"user_tz":-180,"elapsed":9739,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}}},"source":["use_results = use_sts_benchmark(stsb['validation']) \n","distilroberta_results = roberta_sts_benchmark(stsb['validation']) "],"execution_count":9,"outputs":[]},{"cell_type":"code","metadata":{"id":"2tdE8lZ-pvGb","executionInfo":{"status":"ok","timestamp":1625402156310,"user_tz":-180,"elapsed":590,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}}},"source":["references = [item['label'] for item in stsb['validation']]"],"execution_count":10,"outputs":[]},{"cell_type":"code","metadata":{"id":"H9aIzRdXnNdC","executionInfo":{"status":"ok","timestamp":1625402158913,"user_tz":-180,"elapsed":7,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}}},"source":["results = { \n","      \"USE\":stsb_metric.compute( \n","                predictions=use_results, \n","                references=references), \n","      \"DistillRoberta\":stsb_metric.compute( \n","                predictions=distilroberta_results, \n","                references=references) \n","} "],"execution_count":11,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":111},"id":"wH_ISTcnnPY9","executionInfo":{"status":"ok","timestamp":1625402160770,"user_tz":-180,"elapsed":24,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}},"outputId":"fc59b010-767b-45bd-83ea-59464563eb82"},"source":["import pandas as pd \n","pd.DataFrame(results) "],"execution_count":12,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>USE</th>\n","      <th>DistillRoberta</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>pearson</th>\n","      <td>0.810302</td>\n","      <td>0.888461</td>\n","    </tr>\n","    <tr>\n","      <th>spearmanr</th>\n","      <td>0.808917</td>\n","      <td>0.889246</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                USE  DistillRoberta\n","pearson    0.810302        0.888461\n","spearmanr  0.808917        0.889246"]},"metadata":{"tags":[]},"execution_count":12}]},{"cell_type":"code","metadata":{"id":"-KgfMxCgpBzS","executionInfo":{"status":"ok","timestamp":1625402163343,"user_tz":-180,"elapsed":9,"user":{"displayName":"Savas Yıldırım","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GhdhYZMfq-hvK2xI7HqkzvJuCbfgFrIs4wypQEm5w=s64","userId":"10717726124681851716"}}},"source":[""],"execution_count":12,"outputs":[]}]}